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Heng Chen

2 accepted papers

2025

Learning Two-factor Representation for Magnetic Resonance Image Super-resolution

ICASSP 2025accepted

Magnetic Resonance Imaging (MRI) requires a trade-off between resolution, signal-to-noise ratio, and scan time, making high-resolution (HR) acquisition challenging. Therefore, super-resolution for MR image is a feasible solution. However, most existing methods face challenges in accurately learning…

Cited by 0SourceScholar
2025

UAV-MaLO: Mamba-Augmented YOLO Hybrid Architecture for UAV Micro-Object Detection in Autonomous Robotics

IROS 2025

The rapid advancement of drone technology has led to the widespread application of micro-object detection in Unmanned Aerial Vehicle (UAV) systems. However, with the constraint of real-time computation, critical challenges remain in addressing extreme scale variations, low-resolution signatures and

Cited by 1SourceScholar